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Hi! Composing the ``CFG style" noise is a great idea.
I wonder if using a specific interpolation of two noises, instead of just taking the mean, can achieve better performance. What about the spherical linear interpolation mentioned in DDIM?
The text was updated successfully, but these errors were encountered:
We briefly experimented with some combinations of interpolated or dynamic weights to get the final score, but they didn't yield significant improvement, so we ended up using the average score in the paper. We haven't explored spherical linear interpolation yet, so that might be an interesting direction to explore. In addition, another flexible direction would be to combine LoRA-S and LoRA-C at the same time, e.g., activating a subset of all LoRAs at each step and applying a weighted sum (either through interpolation or dynamic weighting) to each LoRA in the subset, which could potentially enhance the results.
Hi! Composing the ``CFG style" noise is a great idea.
I wonder if using a specific interpolation of two noises, instead of just taking the mean, can achieve better performance. What about the spherical linear interpolation mentioned in DDIM?
The text was updated successfully, but these errors were encountered: